Citations

Immune checkpoint inhibitors (ICIs) have transformed cancer therapy but are associated with immune-related adverse events, including ICI–associated acute kidney injury (ICI-AKI). ICI-AKI presents diagnostic and management challenges and can influence decisions regarding immunosuppression and ICI rechallenge, with important implications for both kidney and cancer outcomes. An international, multidisciplinary panel convened at the 34th Acute Disease Quality Initiative (ADQI) consensus conference in September 2024. Systematic literature searches of PubMed were conducted to identify studies on the epidemiology, mechanisms, diagnosis, management, rechallenge, and outcomes of ICI-AKI. The meeting followed the established ADQI process and used a modified Delphi method to achieve consensus. Evidence was reviewed and appraised by workgroups, and consensus statements were developed through structured discussion and voting. Observational data suggest that AKI occurs in up to 20% of patients receiving ICIs, with ICI-AKI accounting for approximately 2%–5% of cases. Acute tubulointerstitial nephritis is the most common lesion, observed in 80%–90% of biopsies, although glomerular diseases are increasingly recognized. No clinical features reliably distinguish ICI-AKI from other causes of AKI, and kidney biopsy remains the diagnostic gold standard. Emerging urinary, circulating, and imaging biomarkers show promise but are not yet ready for routine clinical use. Early glucocorticoid initiation (within 3 days of ICI-AKI diagnosis versus >3 days after diagnosis) is associated with higher rates of kidney recovery, although optimal dosing and duration remain uncertain. Recurrent ICI-AKI occurs in fewer than 20% of patients undergoing ICI rechallenge. Management of high-risk populations, including kidney transplant recipients and patients with autoimmune disease or advanced CKD, requires individualized, multidisciplinary decision-making. ICI-AKI is an important and potentially reversible complication of cancer immunotherapy; these consensus statements provide a framework for diagnosis and management, support cautious ICI rechallenge in selected patients, and identify priorities for future research.

ABSTRACT Cutaneous manifestations of chronic lymphocytic leukemia (CLL) are heterogeneous and may result from leukemic infiltration, secondary malignancies, infectious complications, or reactive inflammatory processes. Reactive angioendotheliomatosis (RAE) is a rare vascular proliferation that has only infrequently been reported in association with hematologic malignancies. We describe a 58‐year‐old man with high‐risk relapsed/refractory CLL harboring TP53 mutation and del(17p) who developed rapidly enlarging, fungating cutaneous lesions involving the right thumb, upper arm, and additional sites despite multiple prior therapies, including fludarabine, cyclophosphamide, rituximab, ibrutinib, and venetoclax. Histopathologic evaluation demonstrated dermal vascular proliferation with endothelial marker positivity (CD31, CD34, ERG, and vimentin), consistent with RAE and without evidence of leukemic infiltration. The lesions were refractory to local supportive measures but showed marked regression following treatment with CD19‐directed chimeric antigen receptor (CAR) T‐cell therapy using lisocabtagene maraleucel. Notably, cutaneous remission despite persistent measurable residual disease and eventual systemic relapse requiring allogeneic hematopoietic cell transplantation. This discordance suggests that regression of RAE may be mediated through immune modulation and alteration of inflammatory or angiogenic pathways rather than direct elimination of cutaneous leukemia. To our knowledge, this is among the first reports describing resolution of paraneoplastic RAE following CAR T‐cell therapy in CLL, and it highlights the broader immunomodulatory effects of cellular immunotherapy beyond direct antitumor activity. Trial Registration The authors have confirmed clinical trial registration is not needed for this submission

Abstract Objectives This study used both researcher and patient perspectives to identify high-priority research questions related to clinical reasoning. Methods This study integrates findings from two previously published research prioritization exercises aimed at advancing the science of diagnostic safety, focusing on questions relevant to clinical reasoning. In Study 1 (April 2019), 97 researchers submitted 177 unique research questions that could be useful “to reduce patient harm in the diagnosis process”. In Study 2 (November 2019), 41 patients/caregivers/advocates submitted 84 unique research questions on the same topic. In an in-person meeting, a subset of these participants identified 81 of these questions as high-priority (51 from Study 1; 30 from Study 2). For the current study, five investigators identified questions that focused on clinical reasoning, first independently and then by consensus. They then categorized the clinical reasoning questions into inductively identified themes. Results Twenty-nine of the 81 high-priority research questions addressed clinical reasoning and were categorized into 5 themes: understanding clinical reasoning and cognition (12 questions), decision support/technology (6 questions), team-based decision making (5 questions), how to learn from cases/scenarios (3 questions), and patient engagement (3 questions). Questions addressed a range of basic/foundational science and clinical applications, and involved individuals, teams, and/or systems. Conclusions Identification of high-priority clinical reasoning research questions can help medical educators, clinicians, researchers, and funders catalyze research and discovery of interventions to improve clinical reasoning and ultimately improve patient outcomes.

Background:The development of symptoms or left ventricular dysfunction in severe aortic stenosis (AS) is associated with high morbidity and mortality. While elective transcatheter aortic valve replacement (TAVR) is supported by robust randomized evidence, data on TAVR performed in non-elective settings (urgent, emergent, or salvage) remain limited and heterogeneous. In these settings, outcomes may be influenced more by baseline clinical severity than by procedural factors. This study aimed to systematically evaluate the safety and effectiveness of non-elective TAVR and to compare the associated outcomes with those of elective TAVR.Methods:This systematic review and meta-analysis were conducted in accordance with the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines and registered with PROSPERO. The PubMed, Embase, and Scopus databases were searched for studies published after 2002 evaluating urgent, emergent, or salvage TAVR in adult patients with severe AS. Eligible studies were required to include elective TAVR as a comparator. Outcomes included mortality and major procedural complications. Prespecified era-based analyses and sensitivity analyses excluding studies at critical risk of bias were performed. Risk of bias was assessed using the ROBINS-I tool.Results:A total of 17 observational studies published between 2015 and 2025 were included, comprising 215,141 patients. Compared with elective patients, those undergoing non-elective TAVR had more advanced heart failure, higher NYHA class, greater comorbidity burden, and higher surgical risk scores, whereas baseline echocardiographic severity of AS was similar. Pooled outcomes for non-elective TAVR showed in-hospital, 30-day, and 1-year mortality rates of 5.1%, 12.4%, and 26.7%, respectively. Non-elective TAVR was associated with higher mortality at all time points compared with elective procedures; meanwhile, rates of stroke, vascular complications, and permanent pacemaker implantation were similar, while major bleeding and acute kidney injury were more frequent. Era-based analyses showed a stable relative mortality risk over time.Conclusions:Although non-elective TAVR is associated with worse outcomes than elective procedures, these differences appear to be largely driven by baseline clinical severity rather than by the transcatheter intervention. In unstable patients with severe AS, non-elective TAVR remains the most effective definitive treatment option compared with balloon aortic valvuloplasty or conservative management.The PROSPERO Registration:CRD420251239620, https://www.crd.york.ac.uk/PROSPERO/view/CRD420251239620.

ABSTRACT This study aims to identify and characterize fenestrations in the aortic and pulmonary valves using an endoscopic approach and compare their prevalence and morphology in adult and fetal hearts. The research explores whether these fenestrations are congenital or acquired and their potential clinical implications. We analyzed 41 adult human hearts (mean age: 74.25 years; range: 62–92) and 97 fetal human hearts (mean gestational age: 26 weeks; range: 12–40). Specimens were preserved in alcohol‐phenol‐formaldehyde and examined using a Stryker 5 mm 0 degree endoscope to visualize valve structures in situ, followed by post‐endoscopic dissection. Two independent investigators assessed the specimens for fenestration prevalence, distribution, and morphology, categorized into ovoid, filamentous, and fenestrated types. Fenestrations were absent in all fetal hearts. Fenestrations were identified in 75.61% of adult hearts (31/41), with 74 fenestrations observed in total. Of these, 41 were in the pulmonary valve and 33 in the aortic valve. Ovoid fenestrations predominated in both valves (aortic: 76.3%, pulmonary: 85%), with significant distribution along leaflet edges, particularly in the left coronary and semilunar leaflets. No correlation with age or sex was found. The findings from this study suggest that valve fenestrations are more likely to be acquired postnatally, rather than representing congenital anomalies. The complete absence of fenestrations in all fetal heart specimens, contrasted with their high prevalence in adult hearts, supports this hypothesis. While our results do not directly prove a causal relationship, they align with prior literature proposing that biomechanical factors, such as cumulative leaflet stress, turbulent flow, and repeated coaptation, may contribute to the formation of fenestrations over time. These insights into the prevalence, morphology and leaflet distribution of fenestrations provide a valuable foundation for future research investigating their etiology, clinical significance, and potential role in valve dysfunction.

ABSTRACT Introduction Composite indolent B‐cell lymphomas may remain unrecognized when one component dominates the clinical presentation. Apparent relapse after therapy may, therefore, represent the emergence of a biologically distinct lymphoma rather than the recurrence of the original disease. Case Presentation An 82‐year‐old woman presented with systemic low‐grade B‐cell lymphoma that was most consistent with marginal zone lymphoma (MZL). Staging demonstrated peripheral blood involvement and multifocal FDG‐avid disease. Treatment with the CD20×CD3‐bispecific antibody mosunetuzumab resulted in complete metabolic remission. During surveillance, a new, isolated cervical lymph node developed despite sustained systemic response. Biopsy revealed follicular lymphoma (Grade 1–2) with a germinal center phenotype and a BCL2 rearrangement, findings discordant with recurrence of MZL. Retrospective review of the original specimen identified in situ follicular neoplasia within the initial biopsy. The disease course was, therefore, reinterpreted as a synchronous composite lymphoma in which treatment of the dominant MZL unmasked a previously clinically silent B‐cell neoplasm with follicular lineage. Local radiotherapy achieved remission of the follicular component. Conclusions New disease following treatment of an indolent lymphoma should not automatically be interpreted as relapse. Discordant clinical behavior, particularly focal progression after systemic response, warrants repeat biopsy and integrated pathologic reassessment. This case illustrates how therapy may reveal preexisting clonal heterogeneity and emphasizes the importance of temporality in distinguishing relapse from composite lymphoma. Trial Registration The authors have confirmed clinical trial registration is not needed for this submission

Importance Elevated low-density lipoprotein cholesterol (LDL-C) is a modifiable risk factor for cardiovascular disease, the leading cause of premature death worldwide. Assessing the LDL-C–related burden is critical for guiding prevention and treatment strategies. Objectives To estimate the global, regional, and national burden of ischemic heart disease and ischemic stroke attributable to elevated LDL-C (relative to 35-54 mg/dL) from 1990 to 2023 and to quantify the contributions of population growth, aging, risk-deleted burden, and exposure changes to burden trends. Design, Setting, and Population This comparative risk assessment, part of the Global Burden of Disease Study 2023, estimated population-level LDL-C exposure and associated health loss in 204 countries and territories. Mean LDL-C levels were estimated using spatiotemporal gaussian process regression based on 806 studies across 161 countries. Relative risks were derived from meta-analyses of 38 randomized clinical trials. Population-attributable fractions for deaths and disability-adjusted life-years (DALYs) were estimated by age and sex for adults aged 25 years or older from 1990 to 2023, with 95% uncertainty intervals. Exposure Population-level LDL-C concentrations. Main Outcomes and Measures Population-attributable fractions, counts, and rates (all ages and age standardized per 100 000) of LDL-C–attributable deaths and DALYs from ischemic heart disease and ischemic stroke, with uncertainty intervals. Results In 2023, elevated LDL-C accounted for 3.6 million deaths (95% uncertainty interval, 2.2-5.4 million; 6.0% of global mortality) and 90.7 million DALYs (95% uncertainty interval, 58.9-123.3 million; 3.2% of DALYs). Although global all-ages rates remained stable, age-standardized death and DALY rates decreased by 45.6% and 39.5%, respectively, since 1990. In 2023, age-standardized LDL-C–attributable DALY rates were highest in Eastern Europe and lowest in high-income Asia-Pacific. One-third of the global LDL-C burden occurred in India and China. Population growth and aging drove the increasing burden, with notable regional disparities in LDL-C exposure and risk-deleted DALY rates shifting toward middle-sociodemographic settings. Conclusions and Relevance Despite declining age-standardized rates, the absolute LDL-C burden has increased since 1990 due to demographic changes and has shifted toward middle-sociodemographic countries. Measurement and surveillance gaps persist. Strengthened prevention, diagnosis, and treatment access strategies are essential to mitigate the health burden of LDL-C.

ABSTRACT Surgery after response to first‐line chemoimmunotherapy may offer a potential curative option for patients with locally advanced biliary tract cancer (BTC) initially considered unresectable. However, robust real‐world evidence in this setting remains limited. We retrospectively analyzed patients with locally advanced BTC treated with first‐line cisplatin, gemcitabine, and durvalumab (CGD) across 55 centers in 12 countries. Endpoints included overall survival (OS), progression‐free survival (PFS), disease‐free survival (DFS) among resected patients, objective response rate (ORR), and the prognostic impact of surgery. A multivariable logistic regression model was developed to predict surgical conversion using baseline clinical and laboratory variables. Among 1358 screened patients, 219 had locally advanced disease and were included in the analysis. Median follow‐up was 14.5 months. ORR was 34.6%, with median PFS and OS of 10.0 and 20.7 months, respectively. Twenty‐four patients (10.9%) underwent surgical resection after systemic therapy. Median OS was 22.5 months in resected patients versus 19.9 months in those who did not undergo surgery. Median DFS after resection was 15.8 months. Pathological lymph node involvement was independently associated with shorter DFS. Larger baseline tumor size correlated with higher odds of radiological response but not with OS. An exploratory elastic‐net model retained four baseline variables and showed moderate discriminative ability for surgical conversion, with an apparent AUC of 0.72 and an optimism‐corrected AUC of 0.65. First‐line CGD enabled secondary resection in approximately 11% of patients with locally advanced BTC. A simple baseline model may support patient selection for conversion surgery, although prospective validation is needed.

Abstract Introduction Distinct temperature patterns have long been recognized to correlate with fevers of differing etiologies. While the use of wearable sensors for high-frequency temperature monitoring (HFTM) on a near minute-by-minute basis has been shown to detect fevers earlier than standard-of-care nursing vital sign assessments in hospitalized patients, leveraging these high-resolution datasets to computationally identify unique digital signatures for real-time diagnosis of underlying fever etiology has not been widely explored. Diagnostic uncertainty is common in patients undergoing hematopoietic stem cell transplantation (HCT), with only 20–30% of febrile neutropenic episodes being microbiologically documented. We hypothesized that unique temperature patterns extracted from HFTM data collected during episodes of febrile neutropenia could be used to develop a supervised machine learning classifier capable of accurately predicting underlying fever etiology in HCT patients. Methods We analyzed 68 clinically independent fever episodes recorded in HCT patients (n=90) outfitted with an FDA-cleared wireless temperature sensor (TempTraq®, BlueSpark Technologies) that measured axillary temperature every 2 minutes throughout hospitalization. Time-series features were extracted from temperature traces spanning 1 hour before to 3 hours after fever onset and used to train a suite of machine-learning models to distinguish engraftment fevers from other fever etiologies. Model training and evaluation were performed using repeated stratified 5-fold patient-level cross-validation, yielding 100 train-test evaluations. Results Among all classification models, the logistic regression classifier provided the best overall performance and interpretability, achieving 94% specificity (95% CI, 0.84–1.0) for identifying engraftment fevers with a mean AUROC of 0.88 ± 0.10. Feature importance analysis demonstrated that both clinical variables and HFTM-derived temperature dynamics contributed to model performance, with a strong reliance on time-series features captured within the first 4 hours of fever onset. Conclusion Our study provides a demonstration that continuous temperature data collected from patients outfitted with wearable sensors can be leveraged not only for early fever detection but also for machine learning–based diagnosis of fever etiology. These findings suggest that dynamic temperature patterns contain clinically meaningful physiologic information that with further studies could support real-time diagnostic decision-making and guide safe de-escalation of empiric antibiotics during febrile neutropenia in patients undergoing intensive cancer therapy.